Single Tree Segmentation and Diameter at Breast Height Estimation With Mobile LiDAR

doi:10.1109/ACCESS.2021.3056877

	Single Tree Segmentation and Diameter at Breast Height Estimation With Mobile LiDAR
	Liu, Lulu 1,2,3; Zhang, Aiwu 1,2,3; Xiao, Shen 4; Hu, Shaoxing 4; He, Nianpeng 5; Pang, Haiyang 1,2,3; Zhang, Xizhen 1,2,3; Yang, Shikai 1,2,3
刊名	IEEE ACCESS
	2021
卷号	9 页码:24314-24325
关键词	Three-dimensional displays Forestry Vegetation Laser radar Estimation Sensors Measurement by laser beam Diameter at breast height mobile laser scanning point cloud single tree segmentation
ISSN号	2169-3536
DOI	10.1109/ACCESS.2021.3056877
通讯作者	Zhang, Aiwu(zhangaw98@163.com)
英文摘要	The tree diameter at breast height (DBH) is one of the most important variables for monitoring the forest ecology. Mobile laser scanning (MLS), which has been widely applied in the forestry field, makes DBH measurement fast and convenient. However, there are many shrubs and deadwood in the neutral forest environment and the point clouds quality from MLS are easily affected by the environment which results in low single tree segmentation and DBH estimation accuracy. To improve the accuracy in a complex forest environment and low point cloud quality, we propose a relative density segmentation method for the single tree segmentation and DBH estimation method based on multi-height diameters for the DBH estimation. The relative density segmentation method calculates the relative density according to the ratio of density in two different scales, and segments the tree trunks by the higher relative density of trunk point clouds compared with their surroundings points. In the natural forest plot, the precision and recall of the proposed segmentation method reached 0.966 and 0.946, respectively; In the urban forest plot, the precision and recall reached 1 and 0.966, respectively. The proposed DBH estimation method was used to estimate the DBH of trees using multi-height diameters. The multi-height diameters combined with the outlier detection algorithm were able to improve the accuracy and robustness when the trunk point clouds have large noise. For the DBH estimation results, the mean absolute error (MAE), mean absolute percentage error (MAPE), and root mean square error (RMSE) were 2.5 cm, 11.54%, and 3.17 cm, respectively, in the natural forest plot and 1.65 cm, 6.31%, and 1.97 cm, respectively, in the urban forest plot. The good experiment results indicate that the proposed method can achieve accurate and robust DBH extraction and provide fundamental data for supervision and sustainable development of forest resources.
资助项目	National Natural Science Foundation of China[42071303] ; Special Foundation for Science and Technology Basic Resource Investigation Program of China[2019FY101304]
WOS研究方向	Computer Science ; Engineering ; Telecommunications
语种	英语
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:000617358400001
资助机构	National Natural Science Foundation of China ; Special Foundation for Science and Technology Basic Resource Investigation Program of China
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/160627]
专题	中国科学院地理科学与资源研究所
通讯作者	Zhang, Aiwu
作者单位	1.Capital Normal Univ, Key Lab 3D Informat Acquisit & Applicat, Minist Educ, Beijing 100048, Peoples R China 2.Capital Normal Univ, Engn Res Ctr Spatial Informat Technol, Minist Educ, Beijing 100048, Peoples R China 3.Capital Normal Univ, Ctr Geog Environm Res & Educ, Beijing 100048, Peoples R China 4.Beihang Univ, Sch Mech Engn & Automat, Beijing 100191, Peoples R China 5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China
推荐引用方式 GB/T 7714	Liu, Lulu,Zhang, Aiwu,Xiao, Shen,et al. Single Tree Segmentation and Diameter at Breast Height Estimation With Mobile LiDAR[J]. IEEE ACCESS,2021,9:24314-24325.
APA	Liu, Lulu.,Zhang, Aiwu.,Xiao, Shen.,Hu, Shaoxing.,He, Nianpeng.,...&Yang, Shikai.(2021).Single Tree Segmentation and Diameter at Breast Height Estimation With Mobile LiDAR.IEEE ACCESS,9,24314-24325.
MLA	Liu, Lulu,et al."Single Tree Segmentation and Diameter at Breast Height Estimation With Mobile LiDAR".IEEE ACCESS 9(2021):24314-24325.